following output. Source | SS df MS Number of obs = 403 -------------+---------------------------------- F(1, 401) > 99999.00 Model | 1.3879e+09 1 1.3879e+09 Prob > F = 0.0000 Residual | 1924458.1 401 4799.14738 R-squared = 0.9986 -------------+---------------------------------- Adj R-squared = 0.9986 Total | 1.3898e+09 402 3457304.26 Root MSE = 69.276 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 42.71861 .0794362 537.77 0.000 42.56245 42.87477 _cons | 17.86443 7.125719 2.51 0.013 3.855995 31.87286 ------------------------------------------------------------------------------ Which of the following is the estimated regression line?

following output. Source | SS df MS Number of obs = 403 -------------+---------------------------------- F(1, 401) > 99999.00 Model | 1.3879e+09 1 1.3879e+09 Prob > F = 0.0000 Residual | 1924458.1 401 4799.14738 R-squared = 0.9986 -------------+---------------------------------- Adj R-squared = 0.9986 Total | 1.3898e+09 402 3457304.26 Root MSE = 69.276 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 42.71861 .0794362 537.77 0.000 42.56245 42.87477 _cons | 17.86443 7.125719 2.51 0.013 3.855995 31.87286 ------------------------------------------------------------------------------ Which of the following is the estimated regression line?

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter2: Equations And Inequalities

Section2.1: Equations

Problem 78E

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